Developing AI equal to our brain is very unlikely. The brain's development is very plastic, and depends on stimuli present (Mom reading or speaking to baby) and mistakes made, which are then corrected. As a result trying to make an brain-authentic AI colmputer program based on brain wiring is very problematic:
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> http://www.physorg.com/news/2011-02-trial-error-brain.html-Another objection to man's imitating the brain's function:-25 February 2011
The Magic Of The 100-billion-computer Organ
Robert Deyes
In his 1987 magnum opus Impossibility In Medicine: The Nature Of The Impossible, the American psychiatrist Jean Goodwin presented to the world the following acutely insightful vista of the brain:
"Despite many assertions to the contrary, the brain is not "like a computer." Yes, the brain has many electrical connections, just like a computer. But at each point in a computer only a binary decision can be made—yes or no, on or off, 0 or 1. Each point in the brain, each brain cell, contains all the genetic information necessary to reproduce the entire organism. A brain cell is not a switch. It has a memory; it can be subtle. Each brain cell is like a computer. The brain is like a hundred billion computers all connected together. It is impossible to understand because it is too complex. As Emerson Pugh wrote, "If the human brain was so simple that we could understand it, we would be so simple that we couldn't."" (1)-And a paper by Deyes:-http://paseosporlanaturaleza.wordpress.com/2011/02/25/lessons-from-a-broken-brain/

Developing AI equal to our brain is very unlikely. The brain's development is very plastic, and depends on stimuli present (Mom reading or speaking to baby) and mistakes made, which are then corrected. As a result trying to make an brain-authentic AI colmputer program based on brain wiring is very problematic:
> 
> http://www.physorg.com/news/2011-02-trial-error-brain.html-Again because the Von Neumann model of computation is completely wrong for emulating the human brain. -A neuron is simultaneously a CPU, memory, and I/O (input/output). And each neuron is connected to many, many others. -Von Neumann architecture completely separates these things into completely discrete units that share communications channels. After spending the last year studying computer hardware I'm fully convinced that true AI isn't possible until you can model brain connections the right way. -(In case you guys didn't know I've been embedding links in the text... it just looks more natural that way.) -The major breakthroughs in modern AI research has actually been in building many--really stupid--processor elements that work together to solve problems. -The main research project I have this semester is in working on some graph theoretic research using NVIDIA GPUs. -I can process 1 task across 448 simultaneous computations here; this is just a smattering of what the brain can do.